SteadyFetch

Reliable web fetching for AI agents. Stop losing hours to Cloudflare blocks, timeouts, and flaky scrapes.

SteadyFetch is an MCP server that gives your AI agents reliable web access with automatic retry, circuit breaker protection, caching, and anti-bot bypass — out of the box.

The Problem

Every AI agent that touches the web hits the same wall:

• Cloudflare blocks your requests
• Sites return CAPTCHAs
• Pages timeout or load partially
• Rate limits kill your batch jobs
• You waste hours debugging flaky scrapes

The Solution

One MCP tool call. SteadyFetch handles the rest.

Agent calls fetch_url("https://example.com")
  → Checks cache (instant if hit)
  → Checks circuit breaker (fail-fast if domain is down)
  → Stealth browser fetch with anti-bot bypass
  → On failure: retry with exponential backoff
  → Fallback: plain HTTP fetch
  → Cache the result
  → Return clean markdown + raw HTML

Tools

How It Works

Retry with backoff — Exponential backoff + jitter prevents retry storms. 3 browser attempts before falling back to HTTP.

Circuit breaker — Per-domain failure tracking. After 5 consecutive failures, the domain is circuit-broken for 2 minutes. Prevents wasting time on sites that are blocking you.

Caching — Disk-backed cache with configurable TTL. Repeat fetches are instant. 500MB default limit.

Anti-bot bypass — Stealth browser with magic mode, navigator patching, and human-like behavior simulation via Crawl4AI.

Graceful degradation — If the browser can't get through, falls back to plain HTTP. If HTTP fails, returns a clear error with domain health status. Never hangs, never silently fails.

Free vs Pro

Free tier gives you basic HTTP fetching and domain health checks. Pro unlocks JS rendering, anti-bot bypass, caching, and clean markdown output.

Upgrade to Pro on MCPize — $19/mo or $190/yr.

Quick Start

Install from PyPI

pip install steadyfetch
steadyfetch

Then connect from Claude Desktop:

{
  "mcpServers": {
    "steadyfetch": {
      "command": "steadyfetch"
    }
  }
}

Self-host with Docker

docker build -t steadyfetch .
docker run -p 8200:8200 steadyfetch

Configuration

All settings via environment variables:

License

MIT